DIA vs VYM: Correlation & Overlap
SPDR Dow Jones Industrial Average ETF (DIA) and Vanguard High Dividend Yield ETF (VYM) show a very strong relationship: their 3-year correlation of weekly returns is 0.90. By holdings, the two funds overlap 22.6% by weight.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are DIA and VYM?
Across a 3-year window, the weekly returns of DIA and VYM correlate at 0.90, very strong, meaning they move nearly in lockstep. Little has changed lately, as the 1-year reading of 0.81 lands near the 3-year figure. Stretching to 5 years gives 0.92, with an annualized covariance of 144.7 %².
Within DIA's tracked universe of 116 assets, VYM comes in at #7 by 3-year correlation. Their 12-month results are close: +19.2% for DIA against +21.1% for VYM. The rolling one-year correlation stayed in a tight band between 0.82 and 0.96 over the past three years, which points to a structural rather than episodic relationship.
How is this computed?
Pearson correlation on weekly returns: ρ(A,B) = cov(rA, rB) / (σA · σB), over windows of 52, 156 and 260 weeks. Covariance is annualized (×52) and expressed in %². Full definitions on the methodology page.
DIA vs VYM: side by side
| DIA (SPDR Dow Jones Industrial Average ETF) | VYM (Vanguard High Dividend Yield ETF) | |
|---|---|---|
| 1-year return | +19.2% | +21.1% |
| 5-year return | +64.8% | +76.6% |
| Volatility (ann.) | 13.0% | 12.3% |
| Beta vs S&P 500 | 0.79 | 0.69 |
| Max drawdown (3Y) | -16.0% | -14.5% |
| Dividend yield | 1.37% | 2.24% |
| Expense ratio | 0.16% | 0.04% |
| Assets under management | $45.2B | $99.2B |
| Sector / category | ETF · US Large Cap | ETF · Dividend |
DIA is a Large Value fund from State Street Investment Management: $45.2B under management, 30 holdings, a 0.16% expense ratio, a 1.37% trailing dividend yield. VYM, Vanguard's Large Value fund, carries $99.2B under management, 604 holdings, a 0.04% expense ratio, a 2.24% trailing dividend yield.
Portfolio overlap between DIA and VYM
The two portfolios partially overlap. Weighing the shared positions, 22.6% of the two funds is identical, spread across 19 common holdings. That shared book is a large part of why the returns line up.
| Common holding | Weight in DIA | Weight in VYM |
|---|---|---|
| JPM | 3.96% | 3.83% |
| JNJ | 3.00% | 2.51% |
| UNH | 4.45% | 1.52% |
| CAT | 9.13% | 1.51% |
| CVX | 2.22% | 1.49% |
| PG | 1.61% | 1.37% |
| HD | 3.72% | 1.35% |
| MRK | 1.70% | 1.31% |
| CSCO | 1.25% | 1.87% |
| GS | 11.56% | 1.14% |
| KO | 1.00% | 1.39% |
| IBM | 2.55% | 0.86% |
| MCD | 2.96% | 0.78% |
| AMGN | 4.89% | 0.78% |
| DIS | 1.22% | 0.69% |
Largest positions held only by DIA: MSFT (5.51%), V (4.26%), SHW (3.87%), GOOGL (3.80%), AXP (3.73%). Only by VYM: AVGO (7.37%), XOM (2.63%), ABBV (1.81%), BAC (1.67%), PM (1.21%).
Overlap = sum of the smaller of the two weights across common holdings, from issuer disclosures as of 2026-08-26. Top 15 common positions shown.
Year-by-year returns
| Year | DIA | VYM |
|---|---|---|
| 2022 | -7.0% | -0.4% |
| 2023 | +16.0% | +6.6% |
| 2024 | +14.8% | +17.6% |
| 2025 | +14.7% | +15.4% |
| 2026 | +12.3% | +15.9% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are DIA and VYM good diversifiers for each other?
No. With a correlation of 0.90, DIA and VYM move nearly in lockstep, so holding both adds very little diversification.
FAQ
What is the correlation between DIA and VYM?
The DIA/VYM correlation stands at 0.90 on a 3-year window (1 year: 0.81, 5 years: 0.92), computed from weekly returns as of 2026-08-27.
Is VYM a good diversifier for DIA?
No. With a correlation of 0.90, DIA and VYM move nearly in lockstep, so holding both adds very little diversification.
How much do DIA and VYM overlap?
22.6% by weight, across 19 common holdings, based on issuer-disclosed portfolios as of 2026-08-26.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/dia-vs-vym.json
Embed this badge (it refreshes with the data), with attribution:
[](https://www.pairbook.io/pair/dia-vs-vym/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: DIA correlations · VYM correlations
